Probabilistic Modelling, Machine Learning, and the Information Revolution - Slides |
2016/11/15 - 10:35am |
Slides |
Probabilistic Modelling, Machine Learning, Information Revolution |

Future Directions of AI in the Enterprise - Slides |
2016/11/15 - 10:25am |
Slides |
Artificial Intelligence, Intelligent Machines, Machine Learning Applications, Machine Learning, Artificial Neural Networks |

Differentiable Neural Computer Family Tree Inference Task |
2016/11/03 - 10:49pm |
Video |
Deep Neural Network Learning, Differentiable Neural Computer, Neural Networks |

Monte Carlo Simulations in Ad Lift Measurement Using Spark |
2016/11/01 - 10:37am |
Video |
Apache Spark, Monte Carlo Simulations, Ad Lift Measurement |

Distributed Time Travel for Feature Generation |
2016/11/01 - 10:35am |
Video |
Apache Spark, Distributed Time Travel, Feature Generation |

A Deeper Understanding of Spark Internals |
2016/11/01 - 10:34am |
Video |
Apache Spark |

Re Architecting Spark For Performance Understandability |
2016/11/01 - 10:32am |
Video |
Apache Spark |

Structuring Apache Spark 2.0: SQL, DataFrames, Datasets And Streaming |
2016/11/01 - 10:31am |
Video |
Apache Spark |

Operational Tips For Deploying Apache Spark |
2016/11/01 - 10:29am |
Video |
Apache Spark |

Top 5 Mistakes When Writing Spark Applications |
2016/11/01 - 10:28am |
Video |
Apache Spark |

Low Latency Execution For Apache Spark |
2016/11/01 - 10:26am |
Video |
Apache Spark |

Revisiting Semi-Supervised Learning with Graph Embeddings |
2016/10/20 - 1:57pm |
Academic Paper |
Supervised Learning, Machine Learning, Semi-Supervised Learning, Graph Embeddings |

Encode, Review, and Decode: Reviewer Module for Caption Generation |
2016/10/20 - 1:52pm |
Academic Paper |
Computer Vision, Pattern Recognition, Reviewer Module, Caption Generation, Machine Learning, Image Captioning, Source Code Captioning |

On Multiplicative Integration with Recurrent Neural Networks |
2016/10/20 - 1:46pm |
Academic Paper |
Multiplicative Integration, Recurrent Neural Networks, Machine Learning |

Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations |
2016/10/20 - 12:27pm |
Academic Paper |
Recurrent Neural Networks, Path-SGD Optimization Method, ReLU Activations, Machine Learning, Neural Computing, Evolutionary Computing |

Iterative Refinement of Approximate Posterior for Training Directed Belief Networks |
2016/10/20 - 12:14pm |
Academic Paper |
Variational Inference, Deep Directed Graphical Models, Iterative Refinement, Approximate Posterior, Directed Belief Networks, Machine Learning |

Harnessing Deep Neural Networks with Logic Rules |
2016/10/20 - 12:07pm |
Academic Paper |
Deep Neural Networks, Logic Rules, Machine Learning |

Gated-Attention Readers for Text Comprehension |
2016/10/20 - 11:55am |
Academic Paper |
Gated-Attention Readers, Text Comprehension, Recurrent Neural Network Reader, Machine Learning |

Discovery of Peculiar Periodic Spectral Modulations in a Small Fraction of Solar Type Stars |
2016/10/20 - 11:50am |
Academic Paper |
Periodic Spectral Modulations, Astronomy, Machine Learning, Spectroscopic, Sloan Digital Sky, Fourier Transform Analysis |

Tensor Decompositions for Learning Latent Variable Models |
2016/10/20 - 11:44am |
Academic Paper |
Tensor Decompositions, Learning Latent Variable Models, Machine Learning, Latent Variable Models, Gaussian Mixture Models, Hidden Markov Models, Topic Models, Method of Moments, Power Method |

Meta-learning within Projective Simulation |
2016/10/20 - 11:37am |
Academic Paper |
Meta-learning, Projective Simulation, Reinforcement Learning |

Physics and Machine Learning - Emerging Paradigms |
2016/10/20 - 11:32am |
Academic Paper |
Physics, Machine Learning, Quantum Machine Learning |

Fourier PCA and Robust Tensor Decomposition |
2016/10/20 - 11:28am |
Academic Paper |
Fourier PCA, Robust Tensor Decomposition, Machine Learning |

A Spectral Algorithm for Latent Dirichlet Allocation |
2016/10/20 - 11:24am |
Academic Paper |
Spectral Algorithm, Latent Dirichlet Allocation, Machine Learning |

Most Tensor Problems are NP-hard |
2016/10/20 - 11:19am |
Academic Paper |
Numerical Multilinear Algebra, Tensor Rank, Tensor Eigenvalue, Tensor Spectral Norm, Symmetric Tensors, NP-hardness, VNP-hardness, Undecidability, Polynomial Time Approximation |

Preparing for the Future of Artificial Intelligence - National Science and Technology Council - October 2016 |
2016/10/18 - 10:44am |
White Paper |
AI, Artificial Intelligence, National Science and Technology Council, Machine Learning, Law, Regulation, Policy |

Investigating the Right Tail of Wealth - Education, Cognitive Ability and Leadership |
2016/10/18 - 10:42am |
Academic Paper |
Wealth, Education, Cognitive Ability, Leadership, Law, Regulation, Political Prediction, Policy |

Statistical Mechanics of Human Weight Change |
2016/10/18 - 10:38am |
Academic Paper |
Healthcare, Health Policy, Human Weight Change, BMI, Obesity |

Deep Reinforcement Learning for Robotic Manipulation |
2016/10/08 - 12:23pm |
Academic Paper |
Deep Reinforcement Learning, Robotic Manipulation, Collective Robot Reinforcement Learning, Robot Motion |

Deep Visual Foresight for Planning Robot Motion |
2016/10/08 - 12:19pm |
Academic Paper |
Deep Visual Foresight, Robot Motion, Deep Reinforcement Learning, Collective Robot Reinforcement Learning, Robot Learning |

Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search |
2016/10/08 - 12:14pm |
Academic Paper |
Collective Robot Reinforcement Learning, Distributed Asynchronous Guided Policy Search, Deep Reinforcement Learning, Robot Learning |

Path Integral Guided Policy Search |
2016/10/08 - 12:11pm |
Academic Paper |
Path Integral Guided Policy Search, Deep Reinforcement Learning, Collaborative Deep Learning, Collective Robot Reinforcement Learning |

Path Integral Guided Policy Search - Video |
2016/10/08 - 12:06pm |
Video |
Path Integral Guided Policy Search, Deep Reinforcement Learning, Collective Robot Reinforcement Learning |

Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search - Video |
2016/10/08 - 12:04pm |
Video |
Collective Robot Reinforcement Learning, Distributed Asynchronous Guided Policy Search, Deep Reinforcement Learning |

Deep Visual Foresight for Planning Robot Motion - Video |
2016/10/08 - 12:02pm |
Video |
Deep Visual Foresight, Robot Motion |

Deep Reinforcement Learning for Robotic Manipulation - Video |
2016/10/08 - 11:59am |
Video |
Deep Reinforcement Learning, Robotic Manipulation |

Evolving Functional Programming Languages |
2016/10/08 - 11:55am |
Slides |
Programming Languages |

Staging Reactive Data Pipelines Using Kafka as Backbone |
2016/10/08 - 11:53am |
Slides |
Reactive Data Pipelines, Kafka, Data Pipelines |

Netty - Asynchronous Network Application Framework |
2016/10/08 - 11:51am |
Slides |
Netty, Asynchronous Network Application Framework |

Playing FPS Games with Deep Reinforcement Learning |
2016/10/06 - 9:25am |
Academic Paper |
Deep Reinforcement Learning, Reinforcement Learning, Machine Learning Algorithms, Autonomous Agents |

Making Sense of Recommendations |
2016/10/06 - 9:19am |
Academic Paper |
Recommendation Engines, Recommendations, Classification Algorithms |

Prediction Policy Problems |
2016/10/06 - 9:18am |
Academic Paper |
Policy Prediction Models, Prediction, Policy |

Political Connections and the Informativeness of Insider Trades |
2016/10/06 - 9:15am |
Academic Paper |
Trading, Finance, Law, Regulation, Political Connections, Insider Trading |

The Kelly Criterion in Blackjack Sports Betting, and the Stock Market |
2016/10/06 - 9:12am |
White Paper |
Ed Thorp, Probabilistic Logic, Information Theory, Kelly Criterion, Blackjack, Sports Betting, Stock Market, Trading, Finance |

SEC Order Approving the National Market System Plan to Implement a Tick |
2016/10/06 - 9:09am |
White Paper |
Finance, Trading, Regulation, Law, SEC, National Market System |

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation |
2016/10/01 - 1:44pm |
Academic Paper |
Neural Machine Translation System, Machine Translation, Machine Learning Use Cases, Machine Learning, Automated Translation, Recurrent Neural Network, Long Short Term Memory, LSTM |

Task Specific Adversarial Cost Function |
2016/10/01 - 1:38pm |
Academic Paper |
Task Specific Adversarial Cost Function, Machine Learning, Deep Learning, Generative Adversarial Networks, Retrieval |

Classifying Options for Deep Reinforcement Learning |
2016/10/01 - 1:35pm |
Academic Paper |
Machine Learning, Deep Learning, Deep Neural Network Learning, Deep Reinforcement Learning |

Towards Deep Symbolic Reinforcement Learning |
2016/10/01 - 1:31pm |
Academic Paper |
Machine Learning, Deep Learning, Symbolic Reinforcement Learning, Deep Neural Network Learning |

The Dataflow Model - A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing |
2016/09/24 - 1:27pm |
Academic Paper |
Dataflow Model, Out-of-Order Data Processing, Data Processing, Data Streams |